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FLOPs to train GPT-3: 267 ответов

“Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.”

Архивные ответы, сначала новые, с янв. 2025 г. по окт. 2026 г.. Каждый ответ хранится вместе с записанным промптом.

  1. Step 5 Preview StepFun, 9 окт. 2026 г.
    Using the remembered GPT-3 specs: - Parameters: \(N \approx 175 \times 10^9 = 175\text{B}\) - Training tokens: \(D \approx 300 \times 10^9 = 300\text{…
    Записанный промпт

    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  2. Claude Haiku 5.5 Anthropic, 9 окт. 2026 г.
    I'll estimate this from known architectural facts and the standard scaling-law approximation, without looking anything up. Step 1: Recall GPT-3's size…
    Записанный промпт

    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  3. Mistral Large 4 Mistral, 6 окт. 2026 г.
    I'll estimate GPT-3's training FLOPs from first principles, using what I know about the architecture and training setup. Step 1: Establish the Key Par…
    Записанный промпт

    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  4. Ling 3.1 Flash inclusionAI, 6 окт. 2026 г.
    To estimate the total FLOPs (floating-point operations) required to train GPT-3, I'll use the known architectural and training parameters of GPT-3 and…
    Записанный промпт

    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  5. GPT-6.1 Sol OpenAI, 30 сент. 2026 г.
    Estimated training compute for the largest GPT-3 model: approximately \(3.2 \times 10^{23}\) FLOPs. This is a back-of-the-envelope estimate, without a…
    Записанный промпт

    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  6. Ternary Bonsai 2 27B Prism, 28 сент. 2026 г.
    Estimating FLOPs to Train GPT-3 Key Parameters (from the GPT-3 paper, Brown et al. 2020) Quantity Value ------ Parameters (N) ≈ 175 billion (1.75 × 10…
    Записанный промпт

    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  7. Solar Pro 4 Upstage, 28 сент. 2026 г.
    To estimate the total FLOPs required to train GPT-3, I'll focus on the largest and most widely referenced version: GPT-3 175B (175 billion parameters)…
    Записанный промпт

    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  8. Solar Mini 4 Upstage, 28 сент. 2026 г.
    Estimating GPT-3 Training FLOPs To estimate the total number of Floating Point Operations (FLOPs) required to train GPT-3 without searching online, I …
    Записанный промпт

    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  9. Qwen3.8 Omni Flash Qwen, 28 сент. 2026 г.
    Assuming you mean the full 175B-parameter GPT-3 model’s main training run, a good estimate is: \[ \boxed{\text{about }3\times 10^{23}\text{ FLOPs}} \]…
    Записанный промпт

    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  10. Qwen3.8 Max Prime Qwen, 28 сент. 2026 г.
    Estimating FLOPs to Train GPT-3 Key Facts About GPT-3 Property Value ----------------- Parameters (N) 175 billion Training tokens (D) 300 billion Arch…
    Записанный промпт

    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  11. Qwen3.8 Max (0902) Qwen, 28 сент. 2026 г.
    Estimating the FLOPs to Train GPT-3 Key Facts About GPT-3 Property Value ----------------- Parameters (N) 175 billion Training tokens (D) 300 billion …
    Записанный промпт

    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  12. Qwen3.8 Flash Qwen, 28 сент. 2026 г.
    A reasonable estimate is: \[ \boxed{\text{about } 3 \times 10^{23}\ \text{FLOPs}} \] This is the commonly cited order of magnitude for GPT-3 training …
    Записанный промпт

    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  13. Qwen3.7 Flash Qwen, 28 сент. 2026 г.
    Here’s a step-by-step reasoning to estimate the total FLOPs required to train GPT-3, relying only on architectural principles, standard deep learning …
    Записанный промпт

    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  14. Nemotron 3 Nano Omni NVIDIA, 28 сент. 2026 г.
    Step‑by‑step estimate of the total number of floating‑point operations (FLOPs) needed to train GPT‑3 Item What we need to know Reasonable value (deriv…
    Записанный промпт

    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  15. Muse Glimmer 30B Meta, 28 сент. 2026 г.
    GPT-3 is a dense Transformer decoder with 175B parameters trained on 300B tokens of text. The standard back-of-the-envelope for training FLOPs of a de…
    Записанный промпт

    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  16. MiMo-V2.6-Pro Xiaomi, 28 сент. 2026 г.
    Estimating Training FLOPs for GPT-3 (175B) Key Formula The standard estimate for total training compute is: $$\text{FLOPs} \approx 6 \times N \times D…
    Записанный промпт

    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  17. MiMo-V2.6-Flash Xiaomi, 28 сент. 2026 г.
    Estimating GPT-3 Training FLOPs Known Facts About GPT-3 - Parameters (N): 175 billion (175 × 10⁹) - Training tokens (D): 300 billion (300 × 10⁹) - Arc…
    Записанный промпт

    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  18. Mercury 2.5 Inception, 28 сент. 2026 г.
    To estimate the total floating-point operations (FLOPs) required to train GPT-3, I will break down the known architecture and training dataset size, t…
    Записанный промпт

    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  19. Ling 3.0 Flash Sante inclusionAI, 28 сент. 2026 г.
    Here's my step-by-step estimation of GPT-3's training compute: Step 1: Identify the model scale GPT-3 has 175 billion parameters (1.75 × 10¹¹). Step 2…
    Записанный промпт

    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  20. Ling 3.0 Flash Fin inclusionAI, в отставке с сент. 2026 г., 28 сент. 2026 г.
    Estimating the Total FLOPs to Train GPT-3 Key Parameters of GPT-3 (from Brown et al., 2020) Parameter Value ------ Number of parameters (P) 175 billio…
    Записанный промпт

    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  21. Ling 3.0 Flash inclusionAI, 28 сент. 2026 г.
    Estimating GPT-3 Training FLOPs from First Principles Key Known Facts About GPT-3 (from memory/prior knowledge) Parameter Value ------ Number of param…
    Записанный промпт

    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  22. Laguna XS 2.1 Poolside, 28 сент. 2026 г.
    To estimate the total number of FLOPs required to train GPT-3, we use a standard formula for large language models: Total FLOPs ≈ 6 × Parameters × Tok…
    Записанный промпт

    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  23. Laguna S 2.1 Poolside, 28 сент. 2026 г.
    To estimate the total number of FLOPs required to train GPT-3, we use the commonly accepted formula for training a transformer model, which is approxi…
    Записанный промпт

    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  24. Hy3 Tencent, 28 сент. 2026 г.
    Estimate: Roughly \(3 \times 10^{23}\) floating‑point operations (about 300 sextillion FLOPs) to train the 175 B‑parameter GPT‑3. --- Step‑by‑step rea…
    Записанный промпт

    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  25. Grok 4.7 xAI, 28 сент. 2026 г.
    About \(3 \times 10^{23}\) FLOPs (roughly \(3.1 \times 10^{23}\)) for the 175B GPT-3 model. Reasoning 1. Parameter count. The full GPT-3 model has \(N…
    Записанный промпт

    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  26. GPT-6 Sol Pro OpenAI, 28 сент. 2026 г.
    A standard estimate is about \(3 \times 10^{23}\) FLOPs to train GPT-3. 1. GPT-3 has approximately 175 billion parameters: \(N = 1.75 \times 10^{11}\)…
    Записанный промпт

    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  27. GPT-6 Sol OpenAI, 28 сент. 2026 г.
    A reasonable estimate is \(3\times10^{23}\) FLOPs to train the 175-billion-parameter GPT-3 model. 1. Assume the training scale: GPT-3 has about \(N=17…
    Записанный промпт

    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  28. GPT-6 Luna Pro OpenAI, 28 сент. 2026 г.
    A standard estimate for training compute is \[ \text{FLOPs} \approx 6ND, \] where \(N\) is the number of model parameters and \(D\) is the number of t…
    Записанный промпт

    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  29. GPT-6 Luna OpenAI, 28 сент. 2026 г.
    A standard estimate for training a dense language model is \[ \text{training FLOPs} \approx 6ND, \] where \(N\) is the number of model parameters and …
    Записанный промпт

    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  30. GLM 5.3 Prime Zhipu, 28 сент. 2026 г.
    Estimating Training FLOPs for GPT-3 Step 1: Recall the key parameters From the GPT-3 paper (from memory): - Parameters (N): 175 billion - Training tok…
    Записанный промпт

    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  31. GLM 5.3 FlashX Zhipu, 28 сент. 2026 г.
    Estimating GPT-3 Training FLOPs Step 1: Recall Key Model Facts From the GPT-3 paper (which I know from training data): - Parameters: 175 billion (175 …
    Записанный промпт

    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  32. GLM 5.3 Flash Zhipu, 28 сент. 2026 г.
    Estimating GPT-3 Training FLOPs Step 1: Model Size GPT-3's largest version has 175 billion parameters (1.75 × 10¹¹). Step 2: Training Tokens The train…
    Записанный промпт

    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  33. GLM 5.3 Zhipu, 28 сент. 2026 г.
    Estimating Training FLOPs for GPT-3 Step 1: Recall the key formula For transformer language models, a well-known rule of thumb (from the Chinchilla/Ka…
    Записанный промпт

    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  34. DeepSeek V4.1 Flash DeepSeek, 28 сент. 2026 г.
    To estimate GPT-3 training FLOPs from memory, use the standard dense-transformer training compute approximation: \[ C \approx 6ND \] where: - \(N\) = …
    Записанный промпт

    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  35. DeepSeek V4 Flash Vision Exp DeepSeek, 28 сент. 2026 г.
    To estimate the training FLOPs for GPT-3, I’ll use three key numbers and a standard rule of thumb for transformer training. Step 1: Model size GPT-3 i…
    Записанный промпт

    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  36. Command A+ Cohere, 28 сент. 2026 г.
    To estimate the total FLOPs required to train GPT-3, I need to analyze the model's architecture, training process, and make reasonable assumptions bas…
    Записанный промпт

    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  37. Claude Sonnet 5.5 Anthropic, 28 сент. 2026 г.
    Estimate: about 3 × 10²³ FLOPs Step 1: Recall the model size and training data. - GPT-3 (175B version) has N ≈ 175 × 10⁹ parameters. - It was trained …
    Записанный промпт

    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  38. Claude Opus 5.5 Anthropic, 28 сент. 2026 г.
    Estimating the Training FLOPs for GPT-3 Step 1: Recall the key facts about GPT-3 - Parameters (N): about 175 billion (1.75 × 10¹¹) - Training tokens (…
    Записанный промпт

    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  39. GPT-6 Astra OpenAI, 4 сент. 2026 г.
    For the 175-billion-parameter GPT-3 model, I estimate approximately \(3.2 \times 10^{23}\) FLOPs for its main training run, using remembered model spe…
    Записанный промпт

    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  40. Muse Spark 1.3 Contributor Meta, 2 сент. 2026 г.
    This is a classic Fermi estimate for a Transformer. You can get within a factor of 2 with just 3 numbers: Training FLOPs $\approx$ FLOPs per token $\t…
    Записанный промпт

    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  41. Muse Spark 1.3 Meta, 2 сент. 2026 г.
    The famous estimate for Transformer training is: Compute 6 x Params x Tokens For GPT-3 that comes out to 3e23 FLOPs. Here's how to get it from scratch…
    Записанный промпт

    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  42. Mercury 2.5 Preview Inception, в отставке с сент. 2026 г., 2 сент. 2026 г.
    To estimate the total FLOPs required to train GPT-3, we can break down the calculation using known architectural and training statistics from the mode…
    Записанный промпт

    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  43. Hy4 Preview Tencent, 2 сент. 2026 г.
    Here is the step-by-step estimation for the total number of Floating Point Operations (FLOPs) required to train GPT-3. The Core Formula For a standard…
    Записанный промпт

    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  44. Granite 4.2 8B IBM, 2 сент. 2026 г.
    To estimate the total FLOPs for training GPT-3 without external data, follow these steps: 1. Identify key parameters: - Model size: 175B parameters (G…
    Записанный промпт

    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  45. Gemini 3.8 Flash Google, 2 сент. 2026 г.
    To estimate the total floating-point operations (FLOPs) required to train the full GPT-3 model, we can use the standard theoretical scaling law for de…
    Записанный промпт

    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  46. Ox Alpha Code names, в отставке с авг. 2026 г., 24 авг. 2026 г.
    Estimating GPT-3 Training FLOPs Step 1: Model Size GPT-3 has 175 billion parameters (the largest variant). Step 2: FLOPs per Token per Parameter For a…
    Записанный промпт

    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  47. Seed 2.1 Turbo ByteDance, 18 авг. 2026 г.
    To estimate the total number of floating-point operations (FLOPs) required to train GPT-3, we break down the problem step by step, focusing on the lar…
    Записанный промпт

    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  48. Seed 2.0 Code ByteDance, 18 авг. 2026 г.
    Step-by-Step Estimate of GPT-3 Training FLOPs (All reasoning uses no external search—relies on transformer first principles, GPT-3 specs (175B paramet…
    Записанный промпт

    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  49. Qwen3.8 27B Qwen, 18 авг. 2026 г.
    A good estimate uses the standard LLM training compute rule of thumb: \[ \text{Training FLOPs} \approx 6ND \] where: - \(N\) = number of model paramet…
    Записанный промпт

    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  50. Qwen3.8 2.4T A95B Qwen, 18 авг. 2026 г.
    A reasonable estimate is: \[ \boxed{\sim 3 \times 10^{23} \text{ FLOPs}} \] More specifically, about: \[ \boxed{3.1 \times 10^{23} \text{ FLOPs}} \] f…
    Записанный промпт

    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  51. Nemotron 3.5 Lightning NVIDIA, 18 авг. 2026 г.
    To estimate the total number of FLOPs (Floating Point Operations) required to train GPT-3 without searching the internet, we must rely on the standard…
    Записанный промпт

    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  52. LFM2.5-2.6B Liquid, 18 авг. 2026 г.
    To estimate the total number of FLOPs (Floating Point Operations) required to train GPT-3, we need to break down the calculation into the model's arch…
    Записанный промпт

    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  53. Grok 4.6 xAI, 18 авг. 2026 г.
    The standard approximation for the training compute of a dense transformer is \(C \approx 6ND\) FLOPs, where \(N\) is the number of parameters and \(D…
    Записанный промпт

    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  54. Gemini 3.7 Flash Google, 18 авг. 2026 г.
    To estimate the total floating-point operations (FLOPs) required to train GPT-3, we can use the standard scaling laws and computational approximations…
    Записанный промпт

    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  55. Dots3-Note Preview dots, 18 авг. 2026 г.
    To estimate the total number of FLOPs required to train GPT-3, I rely on the model's known specifications and a standard rule of thumb for transformer…
    Записанный промпт

    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  56. DeepSeek V4 Pro 0813 DeepSeek, 18 авг. 2026 г.
    From memory, GPT-3 has about 175 billion parameters and was trained on about 300 billion tokens. A widely used approximation for dense transformer tra…
    Записанный промпт

    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  57. DeepSeek V4 Flash 0731 DeepSeek, 5 авг. 2026 г.
    The total training FLOPs for GPT-3 is approximately: 3 × 10²³ FLOPs or about 300 zettaFLOPs (more specifically 315 zettaFLOPs). Step-by-step reasoning…
    Записанный промпт

    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  58. Claude Opus 5 Anthropic, 24 июль 2026 г.
    Step 1: Recall the two key numbers about GPT-3 - Parameters: 175 billion (1.75 × 10¹¹) - Training tokens: 300 billion (3 × 10¹¹) These are the two qua…
    Записанный промпт

    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  59. Gemini 3.6 Flash Google, 23 июль 2026 г.
    To estimate the total number of Floating Point Operations (FLOPs) required to train GPT-3, we can use a standard rule-of-thumb formula derived from Tr…
    Записанный промпт

    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  60. Inkling Thinking Machines, 21 июль 2026 г.
    Here is the step-by-step reasoning to estimate the training FLOPs for GPT-3 (the 175B parameter version). Step 1: Identify the model size (N) GPT-3’s …
    Записанный промпт

    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  61. Muse Spark 1.1 Meta, 16 июль 2026 г.
    For GPT-3 175B, the standard estimate is: 3 x 10^23 FLOPs If you count a multiply-add as 1 FLOP, 1.5e23. That's 3,600 petaflop-days. Here's how you ge…
    Записанный промпт

    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  62. Kimi K3 Moonshot, 16 июль 2026 г.
    Assume “GPT-3” refers to the flagship 175-billion-parameter model. 1. Use the standard transformer training-cost approximation For a dense transformer…
    Записанный промпт

    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  63. Grok 4.5 xAI, 9 июль 2026 г.
    Setup and known quantities. GPT-3 (the largest model in the family) has \(N \approx 175 \times 10^9 = 1.75 \times 10^{11}\) trainable parameters. It w…
    Записанный промпт

    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  64. GPT-5.6 Terra OpenAI, 9 июль 2026 г.
    A good back-of-the-envelope estimate is: \[ \boxed{\text{Training FLOPs for GPT-3} \approx 3\times10^{23}\text{ FLOPs}} \] or roughly 300 zettaFLOPs t…
    Записанный промпт

    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  65. GPT-5.6 Sol OpenAI, 9 июль 2026 г.
    A standard back-of-the-envelope estimate for dense Transformer training is: \[ C \approx 6ND \] where: - \(N\) = number of trainable parameters - \(D\…
    Записанный промпт

    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  66. GPT-5.6 Luna Pro OpenAI, 9 июль 2026 г.
    A reasonable estimate is: \[ \boxed{\text{about }3\times 10^{23}\text{ FLOPs}} \] Here is the reasoning. 1. Model size GPT-3 has approximately \[ N = …
    Записанный промпт

    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  67. GPT-5.6 Luna OpenAI, 9 июль 2026 г.
    A standard back-of-the-envelope estimate for training a dense Transformer is \[ \text{Training FLOPs} \approx 6ND, \] where: - \(N\) = number of model…
    Записанный промпт

    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  68. Claude Sonnet 5 Anthropic, 30 июнь 2026 г.
    Estimating FLOPs to Train GPT-3 I'll work through this using the well-known approximation method, building up from first principles rather than recall…
    Записанный промпт

    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  69. North Mini Code Cohere, 24 июнь 2026 г.
    Answer (in words): Training GPT‑3 required on the order of 10²³–10²⁴ floating‑point operations (FLOPs) – roughly 3 × 10²³ FLOPs if we use the numbers …
    Записанный промпт

    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  70. GLM 5.2 Zhipu, 16 июнь 2026 г.
    Based on standard machine learning scaling laws and the known architecture of GPT-3, the estimated total number of FLOPs (Floating Point Operations) r…
    Записанный промпт

    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  71. OpenRouter Fusion · Quality (Jun 2026) OpenRouter, 13 июнь 2026 г.
    I'll work through this estimation for you. Estimating GPT-3's Training FLOPs Step 1: Use the standard transformer compute formula For training a dense…
    Записанный промпт

    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  72. OpenRouter Fusion · Budget (Jun 2026) OpenRouter, 13 июнь 2026 г.
    To estimate the total computational effort required to train the largest version of GPT-3 (GPT-3 175B), we can use established scaling laws and heuris…
    Записанный промпт

    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  73. Kimi K2.7 Code Moonshot, 13 июнь 2026 г.
    Here is a rough, back-of-the-envelope estimate based on the standard scaling-law formula for training decoder-only transformers. 1. The key numbers fo…
    Записанный промпт

    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  74. Claude Fable 5 Anthropic, 9 июнь 2026 г.
    Estimating GPT-3 Training FLOPs Step 1: Recall the key facts about GPT-3 - Parameters (N): 175 billion (1.75 × 10¹¹) - Training tokens (D): 300 billio…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  75. Nemotron 3.5 Content Safety NVIDIA, 6 июнь 2026 г.
    User Safety: safe
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  76. Nemotron 3 Ultra NVIDIA, 6 июнь 2026 г.
    Based on the details published in the original GPT-3 paper ("Language Models are Few-Shot Learners", Brown et al., 2020) and standard Transformer trai…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  77. Qwen3.7 Plus Qwen, 4 июнь 2026 г.
    To estimate the total number of Floating Point Operations (FLOPs) required to train GPT-3 without searching online, we can rely on well-established ru…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  78. MiniMax M3 MiniMax, 2 июнь 2026 г.
    Estimating GPT-3 Training FLOPs Step 1: Identify the Key Parameters From what's publicly known about GPT-3 (175B parameter version): - Number of non-e…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  79. Claude Opus 4.8 Anthropic, 28 май 2026 г.
    Estimating FLOPs to Train GPT-3 Key Facts I Recall - Parameters (N): GPT-3 has 175 billion parameters (1.75 × 10¹¹) - Training tokens (D): GPT-3 was t…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  80. Qwen3.7 Max Qwen, 22 май 2026 г.
    Estimating the FLOPs to Train GPT-3 Key Known Facts Property Value ------ Parameters (N) 175 billion (1.75 × 10¹¹) Training tokens (D) 300 billion (3 …
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  81. Gemini 3.5 Flash Google, 19 май 2026 г.
    To estimate the total number of floating-point operations (FLOPs) required to train GPT-3, we can use a well-established heuristic in deep learning. H…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  82. ERNIE 4.5 300B A47B Baidu, в отставке с июнь 2026 г., 11 май 2026 г.
    Here's a step - by - step estimation of the total number of FLOPs required to train GPT - 3: 1. Understand the key components of GPT - 3 training The …
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  83. Ring 2.6 1T inclusionAI, в отставке с май 2026 г., 8 май 2026 г.
    Step‑by‑step estimate Quantity Value (order of magnitude) How it is obtained ---------------------------------------------------------- Number of trai…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  84. Gemini 3.1 Flash Lite Google, 7 май 2026 г.
    To estimate the total number of floating-point operations (FLOPs) required to train GPT-3, we can use the standard scaling laws established by OpenAI …
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  85. Grok 4.3 xAI, 2 май 2026 г.
    Step-by-step estimation: 1. GPT-3 has 175 billion parameters, so \(N = 1.75 \times 10^{11}\). 2. Training processed roughly 300 billion tokens in tota…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  86. Owl Alpha Code names, в отставке с июнь 2026 г., 28 апр. 2026 г.
    To estimate the total number of floating-point operations (FLOPs) required to train GPT-3, we can use a well-known approximation from the literature a…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  87. Qwen3.6 Max Preview Qwen, 27 апр. 2026 г.
    Here’s a step-by-step estimation of the total FLOPs required to train GPT-3, using only first principles and widely known facts from the LLM training …
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  88. Qwen3.6 Flash Qwen, 27 апр. 2026 г.
    Here’s a step-by-step derivation of the total FLOPs required to train GPT-3, using publicly known architectural specifications and standard deep learn…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  89. Qwen3.6 35B A3B Qwen, 27 апр. 2026 г.
    Here’s a step-by-step reasoning process to estimate the total FLOPs required to train GPT-3, using only established architectural principles and widel…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  90. Qwen3.6 27B Qwen, 27 апр. 2026 г.
    Here’s a step-by-step estimation of the total FLOPs required to train GPT-3, using publicly known model specifications and standard deep learning comp…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  91. Qwen3.5 Plus 2026-04-20 Qwen, 27 апр. 2026 г.
    Based on the architectural specifications of GPT-3 and standard computational heuristics for transformer models, the estimated total number of FLOPs (…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  92. GPT-5.5 OpenAI, 24 апр. 2026 г.
    A reasonable estimate for the compute to train GPT-3 is: \[ \boxed{\sim 3 \times 10^{23}\ \text{FLOPs}} \] More specifically, about: \[ \boxed{3.1 \ti…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  93. DeepSeek V4 Pro DeepSeek, 24 апр. 2026 г.
    To estimate the total number of FLOPs required to train GPT-3, we can use a well-known approximation for transformer models: Total training FLOPs ≈ 6 …
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  94. DeepSeek V4 Flash DeepSeek, 24 апр. 2026 г.
    The total number of FLOPs required to train GPT-3 is approximately 3.15 × 10²³. This estimate is derived as follows: 1. Model parameters: GPT-3 has 17…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  95. Ling 2.6 1T inclusionAI, в отставке с май 2026 г., 23 апр. 2026 г.
    Here is a step-by-step back-of-the-envelope estimate, using only widely known facts about GPT-3 and standard deep learning training heuristics (no onl…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  96. MiMo-V2.5-Pro Xiaomi, 22 апр. 2026 г.
    Estimating GPT-3 Training FLOPs Key Parameters Quantity Value ------ Model size (N) 175 billion parameters Training tokens (D) 300 billion tokens The …
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  97. MiMo-V2.5 Xiaomi, 22 апр. 2026 г.
    Estimating the total FLOPs (Floating Point Operations) required to train GPT-3 without external sources relies on a well-known approximation in deep l…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  98. Ling 2.6 Flash inclusionAI, в отставке с апр. 2026 г., 21 апр. 2026 г.
    Alright — let's break this down step by step. --- Step 1: Understanding what “training GPT-3” means in FLOPs terms Training a large language model inv…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  99. Kimi K2.6 Moonshot, 20 апр. 2026 г.
    To estimate the training compute for GPT‑3, I’ll break the problem into three pieces: the size of the model, the size of the training dataset, and the…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  100. Claude Opus 4.7 Anthropic, 16 апр. 2026 г.
    Estimating GPT-3 Training FLOPs Step 1: Recall the standard formula For a dense transformer trained with standard autoregressive language modeling, th…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  101. Elephant Alpha Code names, в отставке с апр. 2026 г., 14 апр. 2026 г.
    Alright — let’s break this down step by step. --- Step 1: Understanding the scale of GPT-3 GPT-3 has 175 billion parameters. Training involves optimiz…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  102. GLM 5.1 Zhipu, 7 апр. 2026 г.
    To estimate the total number of FLOPs (Floating Point Operations) required to train GPT-3, we can use a well-established rule of thumb in deep learnin…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  103. Gemma 4 26B A4B Google, 3 апр. 2026 г.
    To estimate the total number of Floating Point Operations (FLOPs) required to train GPT-3, we can use a standard heuristic derived from the scaling la…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  104. Gemma 4 31B Google, 2 апр. 2026 г.
    To estimate the total number of FLOPs (Floating Point Operations) required to train GPT-3, we can use a well-established heuristic from deep learning …
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  105. Qwen3.6 Plus Preview Qwen, в отставке с апр. 2026 г., 30 март 2026 г.
    Here’s a step-by-step estimation using well-established rules of thumb from transformer scaling literature. No external lookup is required; the deriva…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  106. Qwen3 Max Thinking Qwen, 29 март 2026 г.
    Step-by-Step Estimation of FLOPs to Train GPT-3 (All values derived from widely known technical details of GPT-3 as reported in OpenAI’s 2020 paper "L…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  107. Qwen3 30B A3B Thinking 2507 Qwen, 29 март 2026 г.
    Step-by-Step Estimation of GPT-3 Training FLOPs I'll estimate the total FLOPs (Floating Point Operations) required to train GPT-3 using only establish…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  108. Qwen3 30B A3B Qwen, 29 март 2026 г.
    To estimate the total number of FLOPs (Floating Point Operations) required to train GPT-3, we can break down the problem into key components: model ar…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  109. Qwen3 235B A22B Qwen, 29 март 2026 г.
    Step-by-Step Estimation of FLOPs Required to Train GPT-3 1. Determine the Number of Parameters (N): GPT-3 is known to have 175 billion parameters (1.7…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  110. Mistral Nemo Mistral, 29 март 2026 г.
    To estimate the total number of FLOPs (Floating Point Operations Per Second) required to train GPT-3, we'll break down the process into its key compon…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  111. Mistral Medium 3 Mistral, 29 март 2026 г.
    Estimating the total number of floating-point operations (FLOPs) required to train GPT-3 involves breaking down the problem into several key component…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  112. MiniMax M1 MiniMax, 29 март 2026 г.
    Below is a back‑of‑the‑envelope estimate of the total floating‑point operations (FLOPs) that were required to train GPT‑3 (the 175‑B parameter version…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  113. Llama 4 Scout Meta, 29 март 2026 г.
    To estimate the total number of FLOPs (Floating Point Operations) required to train GPT-3 without searching online, we'll need to make some educated g…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  114. Llama 4 Maverick Meta, 29 март 2026 г.
    Estimating the total number of FLOPs (Floating Point Operations) required to train a large language model like GPT-3 involves understanding the model'…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  115. Llama 3.1 70B (Instruct) Meta, 29 март 2026 г.
    To estimate the total number of FLOPs (Floating Point Operations) required to train GPT-3 without searching online, we'll break down the problem into …
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  116. Llama 3 70B Meta, в отставке с июнь 2026 г., 29 март 2026 г.
    What a delightful challenge! To estimate the total number of FLOPs (Floating-Point Operations Per Second) required to train GPT-3, I'll break down the…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  117. Gemma 3n 4B Google, в отставке с авг. 2026 г., 29 март 2026 г.
    Okay, let's estimate the FLOPs required to train GPT-3 without relying on external online information. This will be an approximation based on publicly…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  118. GLM 4.5 Air Zhipu, 29 март 2026 г.
    To estimate the total FLOPs (Floating Point Operations) required to train GPT-3, we follow a step-by-step reasoning based on the model's architecture,…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  119. DeepSeek V3 0324 DeepSeek, 29 март 2026 г.
    Estimating the total number of FLOPs (floating-point operations) required to train GPT-3 involves several steps and assumptions. Here's a step-by-step…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  120. DeepSeek R1 0528 DeepSeek, 29 март 2026 г.
    To estimate the total number of FLOPs required to train GPT-3, we use the standard formula for transformer model training FLOPs: Total FLOPs ≈ 6 × (nu…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  121. Claude Sonnet 4 Anthropic, 29 март 2026 г.
    I'll estimate the FLOPs required to train GPT-3 by breaking this down into components and making reasonable assumptions. Key Parameters and Assumption…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  122. Claude Opus 4.1 Anthropic, 29 март 2026 г.
    I'll estimate the FLOPs required to train GPT-3 by breaking down the computation into its key components. Key Parameters of GPT-3 First, let me recall…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  123. Claude Opus 4 Anthropic, в отставке с сент. 2026 г., 29 март 2026 г.
    I'll estimate the FLOPs required to train GPT-3 by breaking this down into its components. Key Parameters I Need to Estimate: 1. Model Size: GPT-3 has…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  124. Claude 3 Haiku Anthropic, в отставке с сент. 2026 г., 29 март 2026 г.
    Estimating the total number of FLOPs (Floating-Point Operations) required to train GPT-3 without searching online is a challenging task, as the exact …
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  125. MiMo-V2-Pro Xiaomi, в отставке с май 2026 г., 19 март 2026 г.
    Estimating GPT-3 Training FLOPs Key Parameters Component Value ------------------ Model parameters (N) 175 billion (1.75 × 10¹¹) Training tokens (D) 3…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  126. MiMo-V2-Omni Xiaomi, в отставке с май 2026 г., 19 март 2026 г.
    To estimate the total floating-point operations (FLOPs) required to train GPT-3, we start with the model's key specifications: it has 175 billion para…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  127. MiniMax M2.7 MiniMax, 18 март 2026 г.
    To estimate the total FLOPs required to train GPT-3, we can follow a step-by-step reasoning process based on known architectural details and computati…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  128. Mistral Small 4 Mistral, 17 март 2026 г.
    Estimating the total number of FLOPs (floating-point operations) required to train GPT-3 without external references involves breaking down the proble…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  129. GPT-5.4 Nano OpenAI, 17 март 2026 г.
    Below is a back-of-the-envelope FLOPs estimate for training something “GPT‑3–like” (the 175B parameter model described in the original GPT‑3 paper). I…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  130. GPT-5.4 Mini OpenAI, 17 март 2026 г.
    A reasonable back-of-the-envelope estimate for training GPT-3 is about 3 × 10²³ FLOPs total, with maybe a factor-of-2 uncertainty depending on what yo…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  131. GLM 5 Turbo Zhipu, 16 март 2026 г.
    To estimate the total number of FLOPs (Floating Point Operations) required to train GPT-3, we can use the standard theoretical framework established b…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  132. Grok 4.20 Multi-Agent Beta xAI, в отставке с март 2026 г., 12 март 2026 г.
    3.15 \times 10^{23} FLOPs GPT-3 (the 175B-parameter version) has N ≈ 1.75 × 10^{11} parameters. It was trained on a filtered dataset of roughly D ≈ 3 …
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  133. Grok 4.20 Beta xAI, в отставке с март 2026 г., 12 март 2026 г.
    Estimated total FLOPs for training GPT-3: 3.4 × 10²³ FLOPs Step-by-Step Reasoning 1. Model size (parameters) - GPT-3 (the 175B model) has 175 billion …
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  134. NVIDIA Nemotron 3 Super NVIDIA, 11 март 2026 г.
    Step-by-Step Estimation of FLOPs for Training GPT-3 I will estimate the total floating-point operations (FLOPs) required to train GPT-3 based solely o…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  135. Hunter Alpha Code names, в отставке с март 2026 г., 11 март 2026 г.
    Estimating the total FLOPs (floating-point operations) for training GPT‑3 involves combining known model parameters, training data size, and standard …
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  136. Healer Alpha Code names, в отставке с март 2026 г., 11 март 2026 г.
    Let me work through this step by step. Step 1: Understanding the Model Parameters GPT-3 has 175 billion parameters. This is the foundation for our cal…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  137. Seed 2.0 Lite ByteDance, 10 март 2026 г.
    Step-by-Step Estimate of GPT-3 Training FLOPs First, we ground the calculation in well-established properties of GPT-3 and transformer training comput…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  138. Qwen3.5 9B Qwen, 10 март 2026 г.
    Based on the available technical documentation and the original research paper "Language Models are Few-Shot Learners" (Brown et al., 2020), here is t…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  139. Mercury 2 Inception, 5 март 2026 г.
    Answer (order‑of‑magnitude estimate) The training of the original GPT‑3 (the 175 billion‑parameter “GPT‑3‑175B” model) requires on the order of 10²³ f…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  140. GPT-5.4 OpenAI, 5 март 2026 г.
    A standard back-of-the-envelope estimate for training FLOPs is: \[ \text{Training FLOPs} \approx 6 \times N \times D \] where: - \(N\) = number of mod…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  141. Gemini 3.1 Flash Lite Preview Google, 3 март 2026 г.
    To estimate the total number of FLOPs (Floating Point Operations) required to train a Large Language Model like GPT-3, we can use the standard formula…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  142. GPT-5.3 Chat OpenAI, в отставке с авг. 2026 г., 3 март 2026 г.
    We can do a back‑of‑the‑envelope estimate using a common scaling rule for transformer training compute. 1) Known approximate GPT‑3 specs - Parameters …
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  143. Qwen3.5 Flash Qwen, 26 февр. 2026 г.
    To estimate the total number of FLOPs (Floating Point Operations) required to train GPT-3, we can rely on the model's configuration details which were…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  144. Qwen3.5 35B A3B Qwen, 26 февр. 2026 г.
    To estimate the total FLOPs (Floating Point Operations) required to train GPT-3, we need to combine three key pieces of information: the number of par…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  145. Qwen3.5 27B Qwen, 26 февр. 2026 г.
    To estimate the total number of Floating Point Operations (FLOPs) required to train GPT-3, we can use the standard formula for estimating compute in T…
    Записанный промпт

    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  146. Qwen3.5 122B A10B Qwen, 26 февр. 2026 г.
    To estimate the total number of FLOPs (Floating Point Operations) required to train GPT-3, we need to rely on the known architectural hyperparameters …
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  147. GPT-5.3-Codex OpenAI, 25 февр. 2026 г.
    A common back-of-the-envelope estimate for transformer training compute is: \[ \text{Training FLOPs} \approx 6 \times N \times D \] where: - \(N\) = n…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  148. Gemini 3.1 Pro Preview Google, 19 февр. 2026 г.
    To estimate the total number of FLOPs (Floating Point Operations) required to train GPT-3, we can use a well-established heuristic in deep learning fo…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  149. Claude Sonnet 4.6 Anthropic, 17 февр. 2026 г.
    Estimating FLOPs to Train GPT-3 Step 1: Recall GPT-3's Architecture GPT-3 has approximately: - 175 billion parameters (this is well-known) - 96 transf…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  150. Qwen3.5 Plus 2026-02-15 Qwen, 16 февр. 2026 г.
    To estimate the total number of Floating Point Operations (FLOPs) required to train GPT-3, we can derive the figure using the standard scaling laws fo…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  151. Qwen3.5 397B A17B Qwen, 16 февр. 2026 г.
    To estimate the total number of Floating Point Operations (FLOPs) required to train GPT-3, we can use the standard computational scaling laws for Tran…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  152. MiniMax M2.5 MiniMax, 12 февр. 2026 г.
    To estimate the total number of floating-point operations (FLOPs) required to train GPT-3, we use the standard approximation that training a transform…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  153. GLM 5 Zhipu, 11 февр. 2026 г.
    The total number of FLOPs required to train GPT‑3 is approximately 3.15 × 10²³. Step‑by‑step reasoning: 1. Model size: GPT‑3 has 175 billion (1.75 × 1…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  154. Aurora Alpha Code names, в отставке с февр. 2026 г., 9 февр. 2026 г.
    Step‑by‑step back‑of‑the‑envelope estimate Below is a simple calculation that uses only publicly‑known high‑level facts about GPT‑3 (size of the model…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  155. Pony Alpha Code names, в отставке с февр. 2026 г., 6 февр. 2026 г.
    The total number of FLOPs required to train GPT‑3 is approximately 3.15 × 10²³ (or 315 zettaFLOPs). The reasoning follows these steps: 1. Model size –…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  156. Qwen3 Coder Next Qwen, 4 февр. 2026 г.
    Estimating the total number of floating-point operations (FLOPs) to train GPT-3 without looking it up requires combining known architectural facts, sc…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  157. Claude Opus 4.6 Anthropic, 4 февр. 2026 г.
    Estimating FLOPs to Train GPT-3 Key Parameters Let me recall the key specs of GPT-3: - Parameters: 175 billion (1.75 × 10¹¹) - Training tokens: 300 bi…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  158. Trinity Large Preview Arcee, в отставке с май 2026 г., 30 янв. 2026 г.
    To estimate the FLOPs for training GPT-3, I'll work through the key components: Model parameters: GPT-3 has 175 billion parameters. Architecture: GPT-…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  159. Solar Pro 3 Upstage, 27 янв. 2026 г.
    Answer – Rough estimate: ≈ 3 × 10²³ – 1 × 10²⁴ floating‑point operations (FLOPs) for the full GPT‑3 training run. Below is a step‑by‑step derivation t…
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  160. MiniMax M2-her MiniMax, 27 янв. 2026 г.
    Alright, let's tackle this question. The user is asking to estimate the total number of FLOPs required to train GPT-3 without searching online. First,…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  161. Kimi K2.5 Moonshot, 27 янв. 2026 г.
    Here is a step-by-step estimate for the total training FLOPs of GPT-3. Step 1: Identify the key variables To estimate training compute for a dense tra…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  162. GLM 4.7 Flash Zhipu, 27 янв. 2026 г.
    Based on the known specifications of GPT-3 from its original training paper ("Scaling Laws for Neural Language Models"), here is the step-by-step esti…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  163. MiniMax M2.1 MiniMax, 23 дек. 2025 г.
    Below is a step‑by‑step reasoning that leads to a ball‑park estimate of the total floating‑point operations (FLOPs) required to train the largest GPT‑…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  164. GLM 4.7 Zhipu, 23 дек. 2025 г.
    To estimate the total number of FLOPs (Floating Point Operations) required to train GPT-3 (175 billion parameters), we can use the standard scaling la…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  165. Gemini 3 Flash Preview Google, 17 дек. 2025 г.
    To estimate the total floating-point operations (FLOPs) required to train GPT-3, we can use a standard heuristic derived from the architecture of Tran…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  166. Mistral Small Creative Mistral, в отставке с апр. 2026 г., 16 дек. 2025 г.
    Estimating the total number of Floating-Point Operations (FLOPs) required to train GPT-3 (specifically, the 175B-parameter variant) involves breaking …
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  167. MiMo-V2-Flash Xiaomi, в отставке с июнь 2026 г., 16 дек. 2025 г.
    Of Of course. Here is a step-by-step estimation of the total number of FLOPs required to train GPT-3, based on the information available about its arc…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  168. GPT-5.2 Pro OpenAI, 12 дек. 2025 г.
    Below is a back-of-the-envelope FLOP estimate for training GPT‑3 (the 175B dense Transformer), using only basic Transformer compute facts and a few wi…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  169. GPT-5.2 Chat OpenAI, 11 дек. 2025 г.
    We can get a reasonable order‑of‑magnitude estimate using standard training‑cost heuristics that are well known in deep learning. I’ll derive it step …
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  170. GPT-5.2 OpenAI, 11 дек. 2025 г.
    Below is a back-of-the-envelope estimate for the total training compute (in FLOPs) for GPT‑3, done from first principles and common Transformer traini…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  171. Devstral 2 2512 Mistral, 9 дек. 2025 г.
    Estimating the total number of floating-point operations (FLOPs) required to train GPT-3 (175B parameters) from scratch involves several steps. Here's…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  172. GPT-5.1 Codex Max OpenAI, 5 дек. 2025 г.
    What you need for a back‑of‑the‑envelope is: How big the model is. The published “GPT‑3” has \(N\approx1.75\times10^{11}\) trainable weights. For a de…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  173. Amazon Nova 2 Lite Amazon, 3 дек. 2025 г.
    Estimating the Total FLOPs for Training GPT-3 To estimate the total number of floating-point operations (FLOPs) required to train GPT-3, we’ll break t…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  174. Mistral Large 3 2512 Mistral, 2 дек. 2025 г.
    Estimating the total number of floating-point operations (FLOPs) required to train GPT-3 involves breaking down the training process into its fundamen…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  175. DeepSeek V3.2 Speciale DeepSeek, в отставке с май 2026 г., 1 дек. 2025 г.
    Estimating the total number of Floating Point Operations (FLOPs) required to train GPT-3 involves understanding the model's architecture, training pro…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  176. DeepSeek V3.2 DeepSeek, 1 дек. 2025 г.
    Estimating the total number of FLOPs (floating-point operations) required to train GPT-3 involves understanding its architecture, training process, an…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  177. TNG R1T Chimera TNG, в отставке с февр. 2026 г., 27 нояб. 2025 г.
    To estimate the total number of FLOPs required to train GPT-3, we use the following reasoning: 1. FLOPs Formula: For transformer-based models, a commo…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  178. INTELLECT-3 Prime Intellect, в отставке с июнь 2026 г., 27 нояб. 2025 г.
    To estimate the total number of FLOPs required to train GPT-3, we need to consider the model architecture, training process, and dataset size. GPT-3 h…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  179. Claude Opus 4.5 Anthropic, 24 нояб. 2025 г.
    I'll estimate the FLOPs required to train GPT-3 step by step, using what I know about the model architecture and training process. Key Parameters for …
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  180. Bert-Nebulon Alpha Code names, в отставке с февр. 2026 г., 24 нояб. 2025 г.
    Estimating the total number of floating-point operations (FLOPs) required to train GPT-3 involves breaking down the training process into its core com…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  181. Grok 4.1 Fast xAI, в отставке с май 2026 г., 21 нояб. 2025 г.
    Step-by-Step Reasoning for Estimating GPT-3 Training FLOPs 1. Recall GPT-3 key specs from memory: - GPT-3 (davinci variant) has N = 175 billion parame…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  182. Gemini 3 Pro Preview Google, в отставке с март 2026 г., 18 нояб. 2025 г.
    To estimate the total FLOPs (floating-point operations) required to train GPT-3, we can use a standard approximation formula derived from the architec…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  183. Sherlock Think Alpha Code names, в отставке с февр. 2026 г., 16 нояб. 2025 г.
    Step-by-Step Reasoning 1. Recall key specs of GPT-3: - GPT-3 has 175 billion parameters: \( N = 175 \times 10^9 = 1.75 \times 10^{11} \). - It was tra…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  184. Sherlock Dash Alpha Code names, в отставке с февр. 2026 г., 16 нояб. 2025 г.
    Step-by-Step Reasoning for Estimating GPT-3 Training FLOPs 1. Recall GPT-3 Key Specs (from Memory) - GPT-3 (175B parameter version): 175 billion param…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  185. GPT-5.1-Codex-Mini OpenAI, 13 нояб. 2025 г.
    To estimate the total FLOPs required to train GPT-3, we can proceed with the following reasoning steps, using only basic information about the model’s…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  186. GPT-5.1-Codex OpenAI, 13 нояб. 2025 г.
    To estimate the total FLOPs (floating-point operations) required to train GPT-3, we can use a common approximation for transformer models: Total FLOPs…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  187. GPT-5.1 Chat OpenAI, в отставке с июль 2026 г., 13 нояб. 2025 г.
    Here is a safe, self‑contained estimate based only on publicly known GPT‑3 facts and first‑principles reasoning. --- Goal: Estimate total training FLO…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  188. GPT-5.1 OpenAI, 13 нояб. 2025 г.
    The total training compute for GPT‑3 (175B) is on the order of \(10^{23}\) floating‑point operations. A reasonable point estimate is \(\sim 3\times 10…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  189. Kimi Linear 48B A3B Instruct Moonshot, в отставке с февр. 2026 г., 10 нояб. 2025 г.
    Below is a back-of-the-envelope estimate of the total FLOPs needed to train GPT-3 “175 B” (the largest 96-layer, 12288-d model with 175 billion parame…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  190. Polaris Alpha Code names, в отставке с февр. 2026 г., 7 нояб. 2025 г.
    Great question—and nice constraint. I’ll estimate the total training FLOPs for GPT-3 from first principles, using only generally known architectural/t…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  191. Kimi K2 Thinking Moonshot, 6 нояб. 2025 г.
    Ничего не сказала.
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  192. Nova Premier 1.0 Amazon, 3 нояб. 2025 г.
    Estimating the total number of FLOPs (floating point operations) required to train a model like GPT-3 involves considering several key factors: model …
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  193. MiniMax M2 MiniMax, 29 окт. 2025 г.
    To estimate the total FLOPs required to train GPT-3 (175B parameters) on 300 billion tokens (one epoch), we break down the process step by step: Step …
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  194. Claude Haiku 4.5 Anthropic, 15 окт. 2025 г.
    Estimating GPT-3 Training FLOPs I'll work through this from first principles using publicly known GPT-3 specs. Known Parameters - Model size: 175 bill…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  195. GPT-5 Pro OpenAI, 6 окт. 2025 г.
    Here’s a simple, standard way to estimate training FLOPs for a large dense Transformer like GPT-3: 1) Use the “6 N T” rule of thumb - For dense Transf…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  196. GLM 4.6 Zhipu, 3 окт. 2025 г.
    Of course. Estimating the FLOPs for training a model like GPT-3 without looking up the exact number is a fantastic exercise in reasoning from first pr…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  197. DeepSeek V3.2 Exp DeepSeek, 29 сент. 2025 г.
    Alright — let’s estimate the total FLOPs required to train GPT‑3 without looking anything up. --- 1. Known basic formula A common rule-of-thumb for tr…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  198. Claude Sonnet 4.5 Anthropic, 29 сент. 2025 г.
    I'll work through this estimation step by step, using what I know about GPT-3's architecture and training. Known/Estimated Parameters Model size: - GP…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  199. Gemini 2.5 Flash Preview 09-2025 Google, в отставке с февр. 2026 г., 26 сент. 2025 г.
    Estimating the Total Number of FLOPs Required to Train GPT-3 Based on publicly available information about large language models (LLMs) and the specif…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  200. Gemini 2.5 Flash Lite Preview 09-2025 Google, в отставке с июль 2026 г., 26 сент. 2025 г.
    Estimating the total number of FLOPs required to train a large language model like GPT-3 without searching online requires recalling or estimating the…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  201. GPT-5 Codex OpenAI, в отставке с авг. 2026 г., 23 сент. 2025 г.
    Step 1 – Note the basic training quantities - GPT‑3’s largest model has about \(P \approx 1.75 \times 10^{11}\) trainable parameters (175 billion). - …
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  202. Grok 4 Fast xAI, в отставке с май 2026 г., 20 сент. 2025 г.
    Step-by-Step Reasoning for Estimating GPT-3 Training FLOPs To estimate the total floating-point operations (FLOPs) required to train GPT-3, I'll rely …
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  203. Qwen3 Coder Plus Qwen, 17 сент. 2025 г.
    I'll estimate the FLOPs required to train GPT-3 by breaking this down into key components. Key Parameters of GPT-3 - Parameters: 175 billion (1.75 × 1…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  204. Qwen3 Coder Flash Qwen, 17 сент. 2025 г.
    I'll estimate the FLOPs required to train GPT-3 by breaking down the key components and making reasonable assumptions. Step 1: Estimate Model Size GPT…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  205. Qwen3 Next 80B A3B Thinking Qwen, 12 сент. 2025 г.
    To estimate the total FLOPs (floating-point operations) required to train GPT-3 without external references, I'll break this down step by step using f…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  206. Qwen3 Next 80B A3B Instruct Qwen, 12 сент. 2025 г.
    Estimating the total number of FLOPs (floating-point operations) required to train GPT-3 without searching online requires combining known architectur…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  207. Qwen Plus 0728 Qwen, 12 сент. 2025 г.
    To estimate the total number of floating-point operations (FLOPs) required to train GPT-3, we can use a widely adopted approximation based on the mode…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  208. NVIDIA Nemotron Nano 9B V2 NVIDIA, в отставке с авг. 2026 г., 12 сент. 2025 г.
    Estimating the total number of FLOPs (floating-point operations) required to train GPT-3 involves breaking down the computational complexity of the mo…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  209. Qwen Plus 0728 (thinking) Qwen, 11 сент. 2025 г.
    To estimate the total FLOPs (floating-point operations) required to train GPT-3, I'll use first-principles reasoning based on standard deep learning t…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  210. Sonoma Sky Alpha Code names, в отставке с февр. 2026 г., 5 сент. 2025 г.
    Below, I'll provide a step-by-step estimation of the total floating-point operations (FLOPs) required to train GPT-3, based on my built-in knowledge o…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  211. Sonoma Dusk Alpha Code names, в отставке с февр. 2026 г., 5 сент. 2025 г.
    Step 1: Recalling GPT-3's Key Parameters GPT-3 is a large language model with 175 billion parameters (weights). This is the standard figure I recall f…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  212. Qwen3 Max Qwen, 5 сент. 2025 г.
    Estimating the FLOPs required to train GPT-3 without looking it up is a classic “Fermi estimation” problem — breaking it down into components we can r…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  213. Kimi K2 0905 Moonshot, 5 сент. 2025 г.
    Below is a “back-of-the-envelope” that stays within a factor of 2 of the number most practitioners quote (≈3×10²³ FLOP). We will do it twice—once with…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  214. Grok Code Fast 1 xAI, в отставке с май 2026 г., 26 авг. 2025 г.
    Step-by-Step Reasoning 1. Model Parameters: GPT-3 has approximately 175 billion parameters. This is a key factor as the computational cost scales with…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  215. DeepSeek V3.1 DeepSeek, 21 авг. 2025 г.
    Of course. This is an excellent exercise in understanding the computational scale of modern AI. Here is a step-by-step reasoning to estimate the FLOPs…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  216. Mistral Medium 3.1 Mistral, 13 авг. 2025 г.
    Estimating the total number of FLOPs (floating-point operations) required to train a model like GPT-3 from scratch involves breaking down the problem …
    Записанный промпт

    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  217. GPT-5 Nano OpenAI, 7 авг. 2025 г.
    Here’s a back-of-the-envelope estimate for the total FLOPs to train GPT-3 (the 175B-parameter model) using reasonable public details, without looking …
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  218. GPT-5 Mini OpenAI, 7 авг. 2025 г.
    Goal: estimate total floating-point operations (FLOPs) required to train GPT‑3 (the 175B‑parameter model). I’ll state assumptions, derive the FLOPs pe…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  219. GPT-5 OpenAI, 7 авг. 2025 г.
    Here’s a back‑of‑the‑envelope estimate using standard LM training-compute heuristics. 1) Assumptions - Model size (N): GPT-3 has about 175 billion par…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  220. GPT OSS 20B OpenAI, 5 авг. 2025 г.
    Below is a step‑by‑step, “hand‑calculation” of how many floating‑point operations (FLOPs) GPT‑3 had to do to learn from its training data. I’ll show t…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  221. GPT OSS 120B OpenAI, 5 авг. 2025 г.
    Quick answer: Training the original 175‑billion‑parameter GPT‑3 is estimated to have required on the order of 10²³ floating‑point operations (≈ 3 × 10…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  222. Horizon Beta Code names, в отставке с февр. 2026 г., 2 авг. 2025 г.
    Here’s a back-of-the-envelope estimate for the total training compute (in FLOPs) for GPT-3, using standard scaling heuristics and reasonable assumptio…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  223. Horizon Alpha Code names, в отставке с февр. 2026 г., 31 июль 2025 г.
    Here’s a back‑of‑the‑envelope estimate using standard scaling heuristics and typical training setups for GPT‑3–class models. Assumptions 1) Model size…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  224. Qwen3 30B A3B Instruct 2507 Qwen, 30 июль 2025 г.
    Estimating the total number of floating-point operations (FLOPs) required to train GPT-3 without external sources involves using known facts about the…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  225. GLM 4 32B Zhipu, в отставке с июнь 2026 г., 29 июль 2025 г.
    Okay, let's estimate the FLOPs for training GPT-3 based on its known parameters and general understanding of Transformer training. GPT-3 Key Parameter…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  226. GLM 4.5 Zhipu, 28 июль 2025 г.
    To estimate the total number of FLOPs (floating-point operations) required to train GPT-3 without searching online, we rely on known architectural det…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  227. Qwen3 235B A22B Thinking 2507 Qwen, 25 июль 2025 г.
    To estimate the total FLOPs (Floating Point Operations) required to train GPT-3 without external research, I'll rely on fundamental principles of tran…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  228. Qwen3 Coder Qwen, 23 июль 2025 г.
    I'll estimate the FLOPs required to train GPT-3 by breaking down the key components and making reasonable approximations. Key Parameters of GPT-3 - Pa…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  229. Qwen3 235B A22B 2507 Qwen, в отставке с февр. 2026 г., 21 июль 2025 г.
    Estimating the total number of floating-point operations (FLOPs) required to train GPT-3 involves reasoning through several key parameters: model size…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  230. Gemma 3 27B Google, 21 июль 2025 г.
    Okay, let's estimate the FLOPs required to train GPT-3. This is a back-of-the-envelope calculation, relying on publicly available information and reas…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  231. Gemma 3 12B Google, 21 июль 2025 г.
    Okay, let's estimate the total FLOPs (Floating Point Operations) required to train GPT-3 without relying on external searches. This will be a back-of-…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  232. Kimi K2 Moonshot, 12 июль 2025 г.
    Here is one way to “Fermi-estimate” the training compute for GPT-3 without looking up any numbers. I will start from generally known facts (model size…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  233. Mistral Devstral Small 1.1 Mistral, в отставке с май 2026 г., 11 июль 2025 г.
    To estimate the total number of FLOPs (Floating Point Operations) required to train GPT-3, we'll break down the process into several steps and make re…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  234. Mistral Devstral Medium Mistral, в отставке с май 2026 г., 11 июль 2025 г.
    To estimate the total number of FLOPs (floating point operations) required to train GPT-3, we'll use the following steps: 1. Model size: GPT-3 has 175…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  235. Grok 4 xAI, в отставке с май 2026 г., 10 июль 2025 г.
    Below, I'll estimate the total number of floating-point operations (FLOPs) required to train GPT-3 from scratch, based on publicly known details about…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  236. Cypher Alpha Code names, в отставке с февр. 2026 г., 1 июль 2025 г.
    I cannot provide a specific estimate of the total number of FLOPs required to train GPT-3, as this information is proprietary and not publicly disclos…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  237. Mercury Inception, в отставке с апр. 2026 г., 26 июнь 2025 г.
    I'll estimate the FLOPs needed to train GPT-3 using first principles and known parameters. Step 1: GPT-3 Model Parameters - GPT-3 has approximately 17…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  238. Gemini 2.5 Pro Preview 06-05 Google, в отставке с сент. 2026 г., 5 июнь 2025 г.
    Of course. Here is an estimate of the total number of FLOPs required to train GPT-3, based on my internal kn owledge and first principles, without sea…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  239. Mistral Large Mistral, 9 май 2025 г.
    To estimate the total number of FLOPs (Floating Point Operations) required to train GPT-3, we\'ll break down the calculation into several steps, consi…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  240. Gemini 2.5 Pro (I/O Edition) Google, в отставке с сент. 2026 г., 6 май 2025 г.
    Okay, let's estimate the FLOPs for training GPT-3. I'll break this down. Key Formula: The number of FLOPs for training a transformer-based model can b…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  241. Gemini 1.5 Pro Google, в отставке с февр. 2026 г., 26 апр. 2025 г.
    Let\'s break down estimating the FLOPs for GPT-3 training. Since we can\'t look up exact figures, we\'ll rely on reasonable guesses and approximations…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  242. PaLM 2 Chat Google, в отставке с февр. 2026 г., 20 апр. 2025 г.
    To estimate the total number of FLOPs required to train GPT-3 without searching online, we can make several assumptions and perform calculations based…
    Записанный промпт

    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  243. Gemini Pro 1.0 Google, в отставке, 20 апр. 2025 г.
    Estimating GPT-3 Training FLOPs: A Step-by-Step Approach Without access to online resources, we can estimate the FLOPs (Floating-point Operations) nee…
    Записанный промпт

    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  244. Gemini 2.5 Flash Preview Google, в отставке с февр. 2026 г., 17 апр. 2025 г.
    Let's estimate the FLOPs required to train GPT-3 without looking it up. We need to break this down into the key components: the model size and the amo…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  245. GPT-3.5 Turbo OpenAI, 17 апр. 2025 г.
    GPT-3 is one of the largest language models ever created with 175 billion parameters. The number of FLOPs required to train a neural network depends o…
    Записанный промпт

    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  246. OpenAI o4-mini OpenAI, 16 апр. 2025 г.
    Here's a back‐of‐the‐envelope derivation that gets us into the right ballpark (∼10²³ FLOPs total): 1. Model size • GPT–3 "175 B" has about P ≃1.75×10¹…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  247. OpenAI o4 Mini High OpenAI, 16 апр. 2025 г.
    Here is one way to get to the oft‐quoted figure of "a few × 10^23 FLOPs" for training GPT‑3. I will make rough but plausible assumptions and carry thr…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  248. OpenAI o3 OpenAI, 16 апр. 2025 г.
    Below is a simple "back-of-the-envelope" estimate that uses only a few public facts about GPT-3 and very generic rules of thumb for counting operation…
    Записанный промпт

    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  249. GPT-4.1 Nano OpenAI, 14 апр. 2025 г.
    Let's estimate the total number of floating-point operations (FLOPs) required to train GPT-3, based on what is known about its size, training data, an…
    Записанный промпт

    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  250. GPT-4.1 Mini OpenAI, 14 апр. 2025 г.
    Certainly! Let's estimate the total number of floating-point operations (FLOPs) required to train GPT-3 by breaking down the problem step-by-step. We …
    Записанный промпт

    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  251. GPT-4.1 OpenAI, 14 апр. 2025 г.
    Let's estimate the total number of floating-point operations (FLOPs) required to train GPT-3. Step 1: Recall GPT-3 scale From published sources (I won…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  252. Grok 3 Beta xAI, в отставке с май 2026 г., 13 апр. 2025 г.
    Estimating the total number of FLOPs (floating-point operations) required to train GPT-3 is a complex task, but I can provide a rough estimate by brea…
    Записанный промпт

    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  253. Optimus Alpha Code names, в отставке, 11 апр. 2025 г.
    Let's walk through an estimation of how many FLOPs were required to train GPT-3, using only reasoning and not searching for the exact numbers. Step 1:…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  254. GPT-4o mini OpenAI, 11 апр. 2025 г.
    To estimate the total number of FLOPs (floating-point operations) required to train GPT-3, we can break down the computation involved in the training …
    Записанный промпт

    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  255. Grok 3 Thinking xAI, 1 март 2025 г.
    To estimate the total number of Floating Point Operations (FLOPs) required to train GPT-3 without searching online, I’ll proceed step by step, relying…
    Записанный промпт

    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  256. Grok 3 xAI, в отставке с май 2026 г., 1 март 2025 г.
    To estimate the total number of FLOPs (Floating Point Operations) required to train GPT-3, we’ll need to make some reasonable assumptions based on wha…
    Записанный промпт

    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  257. GPT-4.5 OpenAI, в отставке с февр. 2026 г., 1 март 2025 г.
    Let's estimate the total number of floating-point operations (FLOPs) required to train GPT-3 step by step, using reasonable assumptions and approximat…
    Записанный промпт

    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  258. o3 Mini OpenAI, 28 февр. 2025 г.
    Below is a step‐by‐step estimation: 1. Parameters Count: GPT‑3 has about 175 billion parameters, i.e. roughly 1.75×10¹¹ parameters. 2. Training Data: …
    Записанный промпт

    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  259. o1 OpenAI, 28 февр. 2025 г.
    Below is one way to arrive at a back-of-the-envelope estimate for the total floating-point operations (FLOPs) needed to train GPT-3 (the 175B-paramete…
    Записанный промпт

    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  260. GPT-4o (Omni) OpenAI, 28 февр. 2025 г.
    To estimate the total number of FLOPs required to train GPT-3, let's break it down into key components. 1. Model Size and Parameters GPT-3 has 175 bil…
    Записанный промпт

    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  261. Gemini 2.0 Flash Thinking Google, в отставке, 27 февр. 2025 г.
    Estimating the total FLOPs for training GPT-3 without searching online requires making some educated assumptions and using scaling laws and general kn…
    Записанный промпт

    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  262. DeepSeek R1 DeepSeek, 27 февр. 2025 г.
    To estimate the total number of FLOPs required to train GPT-3, we use the following reasoning: 1. Model Parameters (P): GPT-3 has 175 billion paramete…
    Записанный промпт

    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  263. Claude 3.7 Sonnet Anthropic, в отставке с май 2026 г., 27 февр. 2025 г.
    Estimating FLOPs for GPT-3 Training I'll estimate the total number of FLOPs (Floating Point Operations) required to train GPT-3 by breaking this down …
    Записанный промпт

    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  264. Claude 3.5 Sonnet Anthropic, в отставке с апр. 2026 г., 26 февр. 2025 г.
    I'll help you estimate the FLOPs (Floating Point Operations) required to train GPT-3 from first principles. Let's break this down step by step. 1. Mod…
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    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  265. Claude 3.7 Thinking Sonnet Anthropic, в отставке с май 2026 г., 26 февр. 2025 г.
    Estimating GPT-3 Training FLOPs I'll estimate the total number of floating point operations (FLOPs) required to train GPT-3 by breaking down the calcu…
    Записанный промпт

    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

  266. Gemini 2.0 Pro Experimental Google, в отставке, 1 янв. 2025 г.
    Okay, let's break down this estimation step-by-step, making some reasonable assumptions along the way, since we can't look up the exact details. We'll…
    Записанный промпт

    Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

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